A Novel Framework for Natural Language Interaction with 4D BIM
Natural language interfaces can transform the construction industry by enhancing accessibility and reducing administrative workload in the day-to-day operations of project teams. This paper introduces the Voice-Integrated Scheduling Assistant for 4D BIM (VISA4D) tool that integrates speech recogniti...
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MDPI AG
2025-05-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/11/1840 |
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| author | Larin Jaff Sahej Garg Gursans Guven |
| author_facet | Larin Jaff Sahej Garg Gursans Guven |
| author_sort | Larin Jaff |
| collection | DOAJ |
| description | Natural language interfaces can transform the construction industry by enhancing accessibility and reducing administrative workload in the day-to-day operations of project teams. This paper introduces the Voice-Integrated Scheduling Assistant for 4D BIM (VISA4D) tool that integrates speech recognition and Natural Language Processing (NLP) capabilities with Building Information Modeling (BIM) to streamline construction schedule updating and maintenance processes. It accepts voice and text inputs for schedule updates, facilitating real-time integration with Autodesk Navisworks, and eliminates the need for direct access to or advanced knowledge of BIM tools. It also provides visual progress tracking abilities through colour-coded elements within the 4D BIM model for communicating task status updates within the project teams. To demonstrate its capability to enhance schedule updating and maintenance efficiency, the VISA4D tool is implemented in an office building project in Canada and user testing is performed. An overall accuracy of 89% was observed in successfully classifying 71 out of 80 tested construction-specific commands, while the user surveys indicated high usability, with 92% of participants finding VISA4D easy to use and reporting consistent command recognition accuracy. This study advances the existing work on AI-enhanced construction management tools by tackling the challenges associated with their practical implementation in field operations. |
| format | Article |
| id | doaj-art-2a2c2ef089d24156ab45f3d46647ca86 |
| institution | OA Journals |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
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| series | Buildings |
| spelling | doaj-art-2a2c2ef089d24156ab45f3d46647ca862025-08-20T02:33:09ZengMDPI AGBuildings2075-53092025-05-011511184010.3390/buildings15111840A Novel Framework for Natural Language Interaction with 4D BIMLarin Jaff0Sahej Garg1Gursans Guven2Department of Civil Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Electrical and Computer Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaDepartment of Civil Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, CanadaNatural language interfaces can transform the construction industry by enhancing accessibility and reducing administrative workload in the day-to-day operations of project teams. This paper introduces the Voice-Integrated Scheduling Assistant for 4D BIM (VISA4D) tool that integrates speech recognition and Natural Language Processing (NLP) capabilities with Building Information Modeling (BIM) to streamline construction schedule updating and maintenance processes. It accepts voice and text inputs for schedule updates, facilitating real-time integration with Autodesk Navisworks, and eliminates the need for direct access to or advanced knowledge of BIM tools. It also provides visual progress tracking abilities through colour-coded elements within the 4D BIM model for communicating task status updates within the project teams. To demonstrate its capability to enhance schedule updating and maintenance efficiency, the VISA4D tool is implemented in an office building project in Canada and user testing is performed. An overall accuracy of 89% was observed in successfully classifying 71 out of 80 tested construction-specific commands, while the user surveys indicated high usability, with 92% of participants finding VISA4D easy to use and reporting consistent command recognition accuracy. This study advances the existing work on AI-enhanced construction management tools by tackling the challenges associated with their practical implementation in field operations.https://www.mdpi.com/2075-5309/15/11/1840building information modelingBIMartificial intelligenceconversational AInatural language processing4D BIM |
| spellingShingle | Larin Jaff Sahej Garg Gursans Guven A Novel Framework for Natural Language Interaction with 4D BIM Buildings building information modeling BIM artificial intelligence conversational AI natural language processing 4D BIM |
| title | A Novel Framework for Natural Language Interaction with 4D BIM |
| title_full | A Novel Framework for Natural Language Interaction with 4D BIM |
| title_fullStr | A Novel Framework for Natural Language Interaction with 4D BIM |
| title_full_unstemmed | A Novel Framework for Natural Language Interaction with 4D BIM |
| title_short | A Novel Framework for Natural Language Interaction with 4D BIM |
| title_sort | novel framework for natural language interaction with 4d bim |
| topic | building information modeling BIM artificial intelligence conversational AI natural language processing 4D BIM |
| url | https://www.mdpi.com/2075-5309/15/11/1840 |
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